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A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection
Objective: The use of spatially based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health data sets by transposing their spatial locations through a pro...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Medical Informatics Association
2006
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1447544/ https://ncbi.nlm.nih.gov/pubmed/16357353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M1920 |
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